This assumption, that one is the subject of a song just because one is the audience for that song, is not at all dissimilar to the assumption that just because someone of your same gender is gay, they must therefore be attracted to, and hitting on, you.
The main problem of the use of unspecified character states in phylogenetics is the incorrect suggestion of common ancestry and similarity in morphologically dissimilar taxa, and the assumption that the disparate morphologies grouped within this state are a clear alternative to the other character state [ 65].
We then reread each text looking for specific material including images, metaphors, scenarios, rhetorical devices (such as association depicting two concepts as similar or related and dissociation depicting two concepts as dissimilar or mutually exclusive), underpinning assumptions (eg, about the safety or reliability of technologies) and overarching storylines.
The analysis is followed by the use of an MCS built on the assumption that combining dissimilar feature representations can greatly improve the performance of the system.
Our prediction that females would tend to mate with genetically dissimilar mates was based on the assumption that this insular population has low genetic diversity and that it is therefore vulnerable to inbreeding depression.
The underlying assumption is that "texture, in general, is globally dissimilar but locally well patterned".
If characteristics are similar, the similarity assumption is more likely to hold than if characteristics are dissimilar.
Contrary to that assumption, some people prefer to compare themselves with others who are dissimilar (often those who are relatively disadvantaged), because doing so allows the individuals who are making the comparison to enhance their self-concept.
Under a pair-constrained Gaussian assumption, the Gaussian priors (i.e., corresponding covariance matrices) of dissimilar pairs are obtained from those of similar pairs, and the application of a log likelihood ratio makes the whole learning process simple and fast and thus scalable to large datasets.
IA is the appropriate conceptual assumption for predicting the joint toxicity of mixtures composed of substances with dissimilar modes of toxic action [8, 20], while the CA prediction will often overestimate the toxicity for such mixtures [4, 9, 21, 22].
